SOLICITATION NOTICE
70 -- Machine Translation-based Cryptocurrency Mining Detection
- Notice Date
- 2/23/2021 10:29:13 AM
- Notice Type
- Solicitation
- NAICS
- 518210
— Data Processing, Hosting, and Related Services
- Contracting Office
- BATTELLE ENERGY ALLIANCE�DOE CNTR Idaho Falls ID 83415 USA
- ZIP Code
- 83415
- Solicitation Number
- BA-1264
- Response Due
- 3/10/2021 8:59:00 PM
- Archive Date
- 03/10/2021
- Point of Contact
- Andrew Rankin
- E-Mail Address
-
andrew.rankin@inl.gov
(andrew.rankin@inl.gov)
- Description
- TECHNOLOGY LICENSING OPPORTUNITY Machine Translation-based Cryptocurrency Mining Detection Using machine translation to verify a binary submitted for execution on a datacenter system. Opportunity:�� Idaho National Laboratory (INL), managed and operated by Battelle Energy Alliance, LLC (BEA), is offering the opportunity to enter into a license and/or collaborative research agreement to commercialize the cryptocurrency mining detection technology. � Overview:��� ����Advanced cryptocurrency mining algorithms, including Monero and Lightning, that have been surreptitiously embedded into legitimate High-Performance Computing (HPC) applications present an increasing threat to research data centers and HPC systems throughout the world. There are presently over 2000 types of Cryptocurrencies and mining is an operation fundamental to maintaining the operation of these cryptocurrencies. Mining is expensive and requires substantial HPC hardware and datacenter facilities. This cost can be reduced by using stolen HPC resources via cryptojacking. This technology details a highly accurate algorithm for detecting cryptocurrency mining malware that may be embedded in otherwise legitimate appearing HPC applications or otherwise obfuscated. Description:�� �This invention is a rapid test based on machine translation to verify a binary submitted for execution on a datacenter system is free of cryptocurrency mining malware. It uses the attention mechanism in deep learning to accurately and reliably detect cryptocurrency malware surreptitiously deployed on HPC systems. This approach is via machine translation rather than binary classification. Benefits:��� ������� Reduced costs associated with illicit electricity theft Securing a shared and expensive resource which is increasingly targeted.� Machine translation based as opposed to binary classification. Binary classification efforts are easily thwarted via simple obfuscation Machine translation gives a reverse engineered view of a binary, thereby enabling greater transparency to the datacenter manager. Applications:�� Datacenters Development Status:� TRL 3. This technology is in proof-of-concept stage. Further testing and development is needed. IP Status: INL is seeking to license the above intellectual property to a company with a demonstrated ability to bring such inventions to the market. Exclusive rights in defined fields of use may be available. Please visit Technology Deployment�s website at https://inl.gov/inl-initiatives/technology-deployment for more information on working with INL and the industrial partnering and technology transfer process. Companies interested in learning more about this licensing opportunity should contact Andrew Rankin at td@inl.gov.
- Web Link
-
SAM.gov Permalink
(https://beta.sam.gov/opp/ee171fdd6b754568a2866d47a98a0a26/view)
- Place of Performance
- Address: Idaho Falls, ID 83415, USA
- Zip Code: 83415
- Country: USA
- Zip Code: 83415
- Record
- SN05924608-F 20210225/210223230116 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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